SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms

(2019) Michele Scarpiniti et al.   Applied Sciences-Basel

Deep Learning for IoT Big Data and Streaming Analytics: A Survey

(2018) Mehdi Mohammadi et al.   IEEE Communications Surveys and Tutorials

An anomaly detection framework for identifying energy theft and defective meters in smart grids

(2018) Sook-Chin Yip et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Cloud–Fog–Based Smart Grid Model for Efficient Resource Management

(2018) Saman Zahoor et al.   Sustainability

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

(2017) Pavel Mach et al.   IEEE Communications Surveys and Tutorials

FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks

(2017) Mohammad Shojafar et al.   JOURNAL OF SUPERCOMPUTING

Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism

(2017) Youbiao He et al.   IEEE Transactions on Smart Grid

Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

(2017) Enzo Baccarelli et al.   IEEE Access

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

(2016) Xueshi Hou et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Machine Learning Methods for Attack Detection in the Smart Grid

(2016) Mete Ozay et al.   IEEE Transactions on Neural Networks and Learning Systems

A Survey of Mobile Cloud Computing Application Models

(2013) Atta Ur Rehman Khan et al.   IEEE Communications Surveys and Tutorials